Finance, data & software
Research systems and production tools, built by one person
I’m a Private Market Intern at Rothschild & Co in Geneva, and I build tools at the intersection of quantitative finance, legal information and machine learning. Everything listed here is live and in use: some public, some behind a login, all built and run from Geneva.
Selected work
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LEXPrevoyance
Swiss pension-law research assistant that answers with original legal sources, jurisprudence context, access controls, and owner review workflows.
Open project ↗ -
Reglement RAG
Regulation-comparison assistant for Swiss pension funds, built from fund-specific règlement PDFs with article-level sources and citation links.
Open project ↗ -
SEC EDGAR Dashboard
Full-stack product for exploring S&P 500 financial statements, market data, and analytical views pulled directly from SEC filings. Built for investment research workflows.
Open project ↗
Projects
GitHub ↗-
MindFlow
Meditation and breathwork experience with guided pacing, ambient sound engine, and persistent progress tracking.
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Project Desk
Personal project-and-task system that turns project ideas into grilled conversations, decomposed tasks, weekly plans, and review-backed memory.
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File Toolkit
Free private PDF toolkit to split, merge, make fillable, extract tables, convert to Word, run OCR, and protect documents — no account required.
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Minutes
Private meeting workspace that records audio, transcribes the session, and exports a procès-verbal with custom attendees, logos, and templates.
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Interactive demos
Three fictional-business showcases — a gym, a barbershop, and a web-agency template gallery. Not live services.
Research
GitHub ↗About
Rigorous analysis, usable products.
I'm a Private Market Intern at Rothschild & Co in Geneva. Before that I was an associate at the ICRC Pension Fund, working on investment analysis, manager review, pension-fund reporting, and a Legal AI Agent for internal operations.
My background is in finance, economics, and data science. Most of my work starts with a practical question: what is the clearest system we can build around a noisy dataset or an uncertain market problem?
That usually leads toward forecasting, structured research, and production interfaces that make quantitative and legal information easier to inspect and trust.
- Current role
- Private Market Intern, Rothschild & Co
- Education
- MSc Finance, HEC Lausanne
- Credential
- CFA Level I, 2025
- Core stack
- Python, Django, SQL, ML tooling
- Based in
- Geneva, Switzerland
Contact
Open to research, product, and analytics conversations.
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